Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Authors

  • Li Sun North China Electric Power University
  • Ziheng Zhang North China Electric Power University
  • Zixi Wang North China Electric Power University
  • Yujie Wang North China Electric Power University
  • Qiqi Wan North China Electric Power University
  • Hao Li North China Electric Power University
  • Hao Peng Beihang University
  • Philip S. Yu University of Illinois, Chicago

DOI:

https://doi.org/10.1609/aaai.v39i12.33372

Abstract

Dynamic interacting system modeling is important for understanding and simulating real world systems, e.g., meteorology and the spread of COVID. The system is typically described as a graph, where multiple objects dynamically interact with each other and evolve over time. In recent years, graph Ordinary Differential Equations (ODE) receive increasing research attentions. While achieving encouraging results, existing solutions prioritize the traditional Euclidean space, and neglect the intrinsic geometry of the system and physics laws, e.g., the principle of entropy increasing. The aforementioned limitations motivate us to rethink the system dynamics from a fresh perspective of Riemannian geometry, and pose a more realistic problem of physics-informed dynamic system modeling, considering the underlying geometry and physics law for the first time. In this paper, we present a novel physics-informed Riemannian graph ODE for a wide range of entropy-increasing dynamic systems (termed as Pioneer). In particular, we formulate a differential system on the Riemannian manifold, where a manifold-valued graph ODE is governed by the proposed constrained Ricci flow, and a manifold preserving Gyro-transform aware of system geometry. Theoretically, we report the provable entropy non-decreasing of our formulation, obeying the physics laws. Empirical results show the superiority of Pioneer on real datasets.

Published

2025-04-11

How to Cite

Sun, L., Zhang, Z., Wang, Z., Wang, Y., Wan, Q., Li, H., … Yu, P. S. (2025). Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. Proceedings of the AAAI Conference on Artificial Intelligence, 39(12), 12586–12594. https://doi.org/10.1609/aaai.v39i12.33372

Issue

Section

AAAI Technical Track on Data Mining & Knowledge Management II